278 Advances in Computational Methods and Numerical Analysis

Tuesday, November 17, 2020: 8:00 AM - 9:00 AM
Computing and Systems Technology Division (10) (PreRecorded+)

Description:
This session invites contributions on advances in mathematics, computational science, and numerical methods as applied to chemical engineering. Topics of interest include simulation, data analysis, uncertainty quantification, machine learning, optimization, etc. Contributions should have a clear focus on progress in computing, algorithms, numerical analysis, or foundational mathematical theory.

Sponsor:
Applied Mathematics and Numerical Analysis
Chair:
Kamil A. Khan Email: kamilkhan@mcmaster.ca
Co-Chair:
Dhruv Gupta Email: dhruv.gupta@exxonmobil.com





(278d) A Model-Based Methodology for Continuous Experimental Designs
Kennedy Putra Kusumo, Salvador García-Muñoz, Nilay Shah and Benoit Chachuat


(278e) Tractable Global Solutions to Bayesian Optimal Experiment Design
Diogo Rodrigues, Georgios Makrygiorgos and Ali Mesbah



(278g) Scientific Computation in the Latent Space through Manifold Learning
Nikolaos Evangelou, Felix Dietrich, Daniel Lehmberg, Yorgos M. Psarellis, Eliodoro Chiavazzo and Ioannis G. Kevrekidis


(278h) From Partial Data to out-of-Bounds Parameter and Observation Estimation with Diffusion Maps and Geometric Harmonics
Eleni Koronaki, Andreas G. Boudouvis, Nikolaos Evangelou, Yorgos M. Psarellis, Felix Dietrich and Ioannis G. Kevrekidis
See more of this Group/Topical: Computing and Systems Technology Division